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Department EPIC Research About the Department The Energy Policy Institute at the University of Chicago (EPIC) produces data-driven research that advances society's understanding of the global energy
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field or foreign equivalent degree in hand by May 31, 2025. Preferred Qualifications: Knowledge of high energy QCD through experiments at Jefferson Lab, RHIC or LHC and work on EIC/ePIC detector
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accordance with placement guidelines, fill algorithms and in collaboration with PFCs as needed. Prioritize patient placement from multiple in-coming locations i.e. home, clinic, outside hospital transfers
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, validates and implements sophisticated algorithms for clinical processes in the transplant program and more broadly in the Section of Pediatric Hematology/Oncology & Stem Cell Transplantation. Coordinates
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field or foreign equivalent degree in hand by May 31, 2025. Preferred Qualifications: Knowledge of high energy QCD through experiments at Jefferson Lab, RHIC or LHC and work on EIC/ePIC detector
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well as engineer new toolsets that include models, algorithms, and software developed in-house. Reporting to the Director of Research Support, under the Associate Vice President for Advanced Research Computing
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algorithms, data sources and reporting processes. Conceptualize and develop cross-functional client/unit strategic objectives, business processes, and initiatives that drive or increase organizational value
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systems. Includes establishing medical reasoning benchmarks and automated / scalable evaluation methods. Developing recommender algorithms to predict specialty care with large-language model based user
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to join our dynamic team. As part of the newly funded ERC Synergy consortium EPIC, you will develop scalable and robust software to train and apply AI models for regulatory genomics. About us The Chair of
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initiative can be found at: https://facstaff.provost.wisc.edu/cluster-hiring-initiative/ Topics of specific interest include: issues of algorithmic fairness, accountability, and transparency, safety, and